• Machine Learning Engineer

    TEKsystems (San Jose, CA)


    Top Skills' DetailsMust be bilingual (English and Mandarin) is mandatory (must at least be able to understand Mandarin).

     

    • 5+ year experience with the architecture and implementation of at least one mainstream machine learning programming framework (TensorFlow/PyTorch/MXNet), familiar with its architecture and implementation mechanism.

    • BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with years of related work experience.

    • Strong analytical thinking capability. Have essential knowledge and skills in statistics.

    • Strong theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.).

    • Solid programming skills, including but not limited to: Go, C/C++, Python. Familiar with data structure and algorithms.

    Description

    Our clients Commerce Ads team holds a strong advertiser focus and a dedication to technical excellence. We work with advertisers from all verticals, such as E-commerce, Retail, Travel etc, to make TikTok an irreplaceable growth channel for businesses of all sizes and a favorite destination for consumers to discover and purchase products, content, and services.

     

    We are on the critical path to delivering Ads revenue and working on building the next-generation web ads solution for TikTok.

     

    We are seeking Machine Learning Engineers who can help us to improve our existing delivery system that optimizes for advertisers' true business objectives, i.e. desired user value and effectiveness of ROI. You will have a chance to work with a fully globalized team made up of great engineering talents in different countries, and work closely with cross-functional teams to build proper and relevant connections between users, advertisers, and our client

     

    Skills

     

    tensorflow, pytorch, machine learning, golang, spark

     

    Top Skills Details

     

    tensorflow, pytorch machine learning golang, spark

     

    Additional Skills & Qualifications

    Preferred Qualifications:

    • Experience in resource management and task scheduling with large-scale distributed software (such as Spark and TensorFlow).

    • Relevant work or research experiences in search and recommendation.

    • Good understanding in one of the following domains: ads bidding & auction, ads quality control, and online advertising systems (familiar with one or more of these terms: CPC/CPM, CTR/CVR, Ranking /Targeting, Conversion/Budget, Campaign/Creative, Demand/Inventory, DSP/RTB).

    Experience Level

    Expert Level

    Role:

    Description of work to be performed:

    Specified productivity speed/number of tasks/amount of material:

    Time frame for completion:

    Pay and Benefits

    The pay range for this position is $194000.00 - $355000.00/yr.

     

    Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.​

     

    Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

     

    Workplace Type

     

    This is a fully onsite position in San Jose,CA.

     

    Application Deadline

     

    This position is anticipated to close on May 16, 2025.

    About TEKsystems and TEKsystems Global Services

    We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

     

    The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.